| Title |
Fault Diagnosis of Power Transformer Using Support Vector Machine |
| Authors |
Dae-Jong Lee ; Jong-Pil Lee ; Pyeong-Shik Ji ; Jae-Yoon LIm |
| Keywords |
Power Transformer ; Fault Diagnosis ; Support Vector Machine |
| Abstract |
For the fault diagnosis of power transformer, we develop a diagnosis algorithm based on support vector machine. The proposed fault diagnosis system consists of data acquisition, fault/normal diagnosis, and identification of fault. In data acquisition part, concentrated gases are extracted from transformer for data gas analysis. In fault/normal diagnosis part, KEPCO based decision rule is performed to separate normal state from fault types. The determination of fault type is executed by multi-class SVM in identification part. As the simulation results to verify the effectiveness, the proposed method showed more improved classification results than conventional methods. |